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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Number of items: 5.

Article

Werner, Christoph and Colson, Abigail and Morton, Alec and Bedford, Tim (2021) Risk assessment of future antibiotic resistance - eliciting and modelling probabilistic dependencies between multivariate uncertainties of bug-drug combinations. Frontiers in Applied Mathematics and Statistics: Mathematics of Computation and Data Science, 7. 669391.

Werner, Christoph and Bedford, Tim and Quigley, John (2021) Mapping conditional scenarios for knowledge structuring in (tail) dependence elicitation. Journal of Operational Research Society, 72 (4). pp. 889-907. ISSN 0160-5682

Werner, Christoph and Bedford, Tim and Quigley, John (2018) Sequential refined partitioning for probabilistic dependence assessment. Risk Analysis, 38 (12). pp. 2683-2702. ISSN 1539-6924

Werner, Christoph and Bedford, Tim and Cooke, Roger M. and Hanea, Anca M. and Morales-Napoles, Oswaldo (2016) Expert judgement for dependence in probabilistic modelling : a systematic literature review and future research directions. European Journal of Operational Research, 258 (3). pp. 801-819. ISSN 0377-2217

Book Section

Werner, Christoph and Hanea, Anca and Morales-Napoles, Oswaldo; Dias, Luis and Morton, Alec and Quigley, John, eds. (2017) Eliciting multivariate uncertainty from experts : considerations and approaches along the expert judgement process. In: Elicitation. International Series in Operations Research & Management Science . Springer Nature, New York. ISBN 978-3-319-65051-7

This list was generated on Thu Nov 21 11:41:16 2024 GMT.